Aims, Scope and Objective of Special Issue:
Our everyday lives have become more reliant on online platforms. Social media (Facebook, Twitter, Instagram),
discussion websites (Reddit), messaging services (WhatsApp, Snapchat), blogs, forums, and online chats have all
been used to spread ideas and data. Without a doubt, social media platforms like Facebook, Twitter, and Instagram
benefit society by enabling individuals to express themselves and seek support from others in the online
community. Additionally, these platforms have an unmistakable wrong side: cyberbullying, cyberstalking,
cyberterrorism, e-bile, fake news, flaming, hate speech, impersonation, pornography, glorification of dangerous
behavior (e.g., eating disorders), and trolling. Various news sites in recent years have recorded numerous incidences
of suicide, grief, and fear. Additionally, although individuals from many linguistic origins are exposed to online social
media, English remains at the forefront of continuing advances in language technology research. Recently, several
study investigations on highly resourced languages, such as Arabic, German, Hindi, and Italian, have been done.
However, more research on making social media platforms safer in low-resource Eurasian languages is still needed.
This special issue aims to gather original research articles that add to the body of knowledge about the use of
intelligent natural language systems to build a safer social media environment in low-resource Eurasian
languages.
Topics
Among the special issue's topics of interest are the following: -
• Early detection of radicalization in low-resource Eurasian languages
• Mechanisms for recognizing and preventing cyber predators in low-resource Eurasian languages
• Identifying and resolving hate speech (abusive language, cyberbullying, etc.) in low-resource Eurasian
languages
• Simulated propagation and transmission of potentially harmful information via social media in low-resource
Eurasian languages
• Data collection and annotation methodologies for to safer social media in low resourced Eurasian languages
• Content moderation strategies in low-resource Eurasian languages
• Cybersecurity and social media in low-resource Eurasian languages
• Fake news detection in low-resource Eurasian languages
Important Dates
• Submissions deadline: 10 February 2023
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
School of Computer Science, University of Galway
Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway